Sökning: "Fundamental models"

Visar resultat 1 - 5 av 699 avhandlingar innehållade orden Fundamental models.

  1. 1. Hidden Markov models : Identification, control and inverse filtering

    Författare :Robert Mattila; Bo Wahlberg; Eric Moulines; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; hidden markov models; system identification; method of moments; inverse filtering; abdominal aortic aneurysm; medical; markov decision process; structure; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : The hidden Markov model (HMM) is one of the workhorse tools in, for example, statistical signal processing and machine learning. It has found applications in a vast number of fields, ranging all the way from bioscience to speech recognition to modeling of user interactions in social networks. LÄS MER

  3. 2. Real-Time Workload Models : Expressiveness vs. Analysis Efficiency

    Författare :Martin Stigge; Wang Yi; Sanjoy Baruah; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Real-time systems; task models; EDF; fixed-priority scheduling; schedulability analysis; response-time analysis; abstraction refinement; Computer Science with specialization in Real Time Systems; Datavetenskap med inriktning mot realtidssystem;

    Sammanfattning : The requirements for real-time systems in safety-critical applications typically contain strict timing constraints. The design of such a system must be subject to extensive validation to guarantee that critical timing constraints will never be violated while the system operates. LÄS MER

  4. 3. Transport, Mobility, and Workplace Location : Models and Applications

    Författare :Fatemeh Naqavi; Muriel Beser Hugosson; Nathalie Picard; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Transportsystem; Transport Systems;

    Sammanfattning : Travel demand analysis is one of the core constituents of transportation studies. Therequired insight to maintain and develop a sustainable transportation system, in additionto learning from previous research globally and locally, is generated from studyingthe effects of previous policies, investigating future possibilities and potential outcomes,and describing the current situation. LÄS MER

  5. 4. Towards Accurate and Reliable Deep Regression Models

    Författare :Fredrik K. Gustafsson; Thomas B. Schön; Martin Danelljan; Søren Hauberg; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine Learning; Deep Learning; Regression; Probabilistic Models; Energy-Based Models; Uncertainty Estimation; Machine learning; Maskininlärning;

    Sammanfattning : Regression is a fundamental machine learning task with many important applications within computer vision and other domains. In general, it entails predicting continuous targets from given inputs. LÄS MER

  7. 5. Perspectives on Probabilistic Graphical Models

    Författare :Dong Liu; Ragnar Thobaben; Harri Lähdesmäki; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Bayesian methods; graphical models; inference; learning; statistics; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Probabilistic graphical models provide a natural framework for the representation of complex systems and offer straightforward abstraction for the interactions within the systems. Reasoning with help of probabilistic graphical models allows us to answer inference queries with uncertainty following the framework of probability theory. LÄS MER